In 2018, my brother was hiking the Pacific Crest Trail. After much convincing, we were able to get him to purchase a SPOT. Luckily, this had an API associated with it and I was able to track his movements throughout his hike. I blogged about this experience in the links below. There seems to be some general interest in this code so I figured it couldn't hurt to throw it on GitHub.
- Hiking the Pacific Crest Trail with the Elastic Stack
- Hiking the Pacific Crest Trail with the Elastic Stack - Part 2: Hitting 1000
- Hiking the Pacific Crest Trail with the Elastic Stack - Part 3: Mission Complete
I am hosting a read only instance on Elastic Cloud that takes advantage of freely available features like Maps and Canvas.
- Host:
https://b778b00c9167a18a95c2a263f6baea62.us-east-1.aws.found.io:9243 - Username:
Elastic_PCT - Password:
whereismike
I haven't had time to generalize the script or saved objects for Kibana. I had a cron job that ran the python script every 10 minutes. You'll want to open the mike_location.py and add a Google Maps API key, an OpenWeatherMap API, SPOT feed ID and the details for your cluster. If you make no changes to the index name, you can import the saved_objects.ndjson file. Unfortunately, everything will be labeled "Mike" .
This is a no judgement coding zone, I was and still am a python n00b. I also realize it's unnecessary to create the index and mappings every run. If you want to improve this code, feel free to submit a PR :-)
You can run the stack on Elastic Cloud or download for a self managed experience.
Click here and login with Elastic_PCT : whereismike for a read only view of the latest dashboard
Click here and login with Elastic_PCT : whereismike for a read only view of this Canvas workpad
Click here and login with Elastic_PCT : whereismike for a read only view of this map
{
"_index": "mike_location-v2",
"_type": "doc",
"_id": "1077296819",
"_version": 1,
"_score": null,
"_source": {
"distance_text": "36 ft",
"origin_distance_miles": 1363.81270176,
"weather_place": "Marietta-Alderwood",
"origin_estimated_duration_text": "18 days 21 hours",
"weather_rain": {
"1h": 0.25
},
"weather_wind": {
"speed": 1.22,
"deg": 140.001
},
"messageType": "TRACK",
"day_or_night": "Night",
"showCustomMsg": "N",
"weather_wind_direction": "SE",
"weather_long_description": "light rain",
"weather_sunset": "2018-10-07T01:38:12 00",
"batteryState": "LOW",
"address_state": "Washington",
"address_postcode": "98226-8048",
"tracker_detailedMessageShown": false,
"address_country": "USA",
"id": 1077296819,
"elevation_feet": 168.13703008712767,
"origin_distance_text": "1,364 mi",
"tracker_status": "ACTIVE",
"address_raw": "I 5, Birchwood, Whatcom County, Washington, 98226-8048, USA",
"weather_timestamp": "2018-10-06T00:35:00 00",
"altitude": 74,
"address_road": "I 5",
"weather_short_description": "Rain",
"location": {
"lat": 48.79611,
"lon": -122.52904
},
"previous_location": {
"lat": 48.79602,
"lon": -122.52913
},
"weather_sunrise": "2018-10-06T14:17:14 00",
"latitude": 48.79611,
"distance_meters": 11,
"hidden": 0,
"origin_distance_meters": 2194848,
"weather_humidity": 76,
"weather_snow": {},
"modelId": "SPOT3",
"tracker_daysRange": 7,
"distance_miles": 0.00683507,
"weather_clouds": 90,
"elevation_resolution": 4.771975994110107,
"address_county": "Whatcom County",
"tracker_id": "0xUCMqoO8VBNO2qCuh8MMobhyCmrlAYbR",
"messengerId": "0-3086869",
"tracker_usage": 0,
"tracker_name": "Mike's SPOT",
"origin_estimated_duration_seconds": 1632078,
"clientUnixTime": "0",
"messageDetail": "",
"address_country_code": "us",
"estimated_duration_seconds": 8,
"weather_pressure": {
"press": 1014,
"sea_level": null
},
"unixTime": 1538787465,
"elevation_meters": 51.24816513061523,
"tracker_type": "SHARED_PAGE",
"longitude": -122.52904,
"dateTime": "2018-10-06T00:57:45 0000",
"messengerName": "Mike's Spot",
"weather_temperature": {
"temp_max": 53.96,
"temp_kf": null,
"temp": 52.95,
"temp_min": 51.8
},
"tracker_description": "Mike's SPOT",
"estimated_duration_text": "1 min"
},
"fields": {
"dateTime": [
"2018-10-06T00:57:45.000Z"
],
"weather_sunset": [
"2018-10-07T01:38:12.000Z"
],
"weather_timestamp": [
"2018-10-06T00:35:00.000Z"
],
"hour_of_day": [
0
],
"weather_sunrise": [
"2018-10-06T14:17:14.000Z"
]
},
"sort": [
1538787465000
]
}